The values read into z2 came from a CSV file. Please consider this R
session:
> length(x2)
[1] 1632
> length(x)
[1] 1632
> length(z2)
[1] 1632
> head(z2)
[1] 28914.0 28960.5 28994.5 29083.0 29083.0 29083.0
> tail(z2)
[1] 32729.65 32751.85 32386.05 32379.75 32379.15 31977.15
> lm ( y ~ x2 + x, z2 )
Error in eval(predvars, data, env) :
numeric 'envir' arg not of length one
> lm ( y ~ x2 + x, as.data.frme(z2) )
Error in as.data.frme(z2) : could not find function "as.data.frme"
> lm ( y ~ x2 + x, as.data.frame(z2) )
Error in eval(predvars, data, env) :
numeric 'envir' arg not of length one
lm(formula = y ~ x2 + x, data = as.data.frame(z2))
Coefficients:
(Intercept) x2 x
-1.475e-09 1.000e+00 6.044e-13
> min(z2)
[1] 24420
> max(z2)
[1] 35524.85
> class(z2)
[1] "numeric"
>
where x is set to x = seq(1:1632)
and x2 is set to x^2
I am looking for an interpolating polynomial of the form:
Ax^2 + Bx + C
I do not think the results I got make sense. I believe that I have a
data type error. I do not understand why
I need to convert z2 to a data frame if it is already numeric.
Thanks,
Bob
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
